text: # Copyright 2020 The TensorFlow Authors. All Rights Reserved.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  # ==============================================================================
  """Benchmarks for `tf.data.Dataset.prefetch()`."""
  from tensorflow.python.data.benchmarks import benchmark_base
  from tensorflow.python.data.ops import dataset_ops
  
  
  class PrefetchBenchmark(benchmark_base.DatasetBenchmarkBase):
    """Benchmarks for `tf.data.Dataset.prefetch()`."""
  
    def benchmark_prefetch(self):
      num_elements = 1000000
      for prefetch_buffer in [1, 5, 10, 20, 100]:
        dataset = dataset_ops.Dataset.range(num_elements)
        dataset = dataset.prefetch(prefetch_buffer)
  
        self.run_and_report_benchmark(
            dataset,
            num_elements=num_elements,
            extras={
                "model_name": "prefetch.benchmark.1",
                "parameters": "%d" % prefetch_buffer,
            },
            name="prefetch_{}".format(prefetch_buffer))
  
  
  if __name__ == "__main__":
    benchmark_base.test.main()
  